🔥Free MS Excel Course with Completion Certificate: https://www.simplilearn.com/learn-ms-excel-free-training-course-skillup?utm_campaign=MSExcelSkillUpIntro&utm_medium=Description&utm_source=youtube

This Introduction to MS Excel course will help you thoroughly understand MS Excel and explore its abundant features. You will learn how to write functions, sort, filter, and import data. Learn MS Excel and explore various functions and formulas that you can leverage on MS Excel to track and manage and track data-driven projects.

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About MS Excel Free Course with Completion Certificate:
This MS Excel course will help you develop a deep understanding of MS Excel and explore its abundant features. it is a complete guide to understand all the basics of MS Excel, like how to write functions, sort, filter, and import data and much more.

Skills You Will Learn:
✅ Excel Sort and Filter
✅ Excel Dashboard
✅ Functions in Excel
✅ Conditional formatting
✅ Data Validation
✅ Pivot Tables and Charts
✅ Data Analysis in Excel
✅ Macros and VBA

Who Should Learn:
✅ Freshers
✅ Sales Professionals
✅ Marketing Professionals
✅ Strategists
✅ Business Executives
✅ Data Professionals

🔥 Learn more at: https://www.simplilearn.com/learn-ms-excel-free-training-course-skillup?utm_campaign=MSExcelSkillUpIntro&utm_medium=Description&utm_source=youtube

🔥 Free Python Course with completion certificate: https://www.simplilearn.com/learn-ms-excel-free-training-course-skillup?utm_campaign=MSExcelSkillUpIntro&utm_medium=Description&utm_source=youtube

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Career Masterclass: How to Get Job-Ready for a DevOps Career With Caltech CTME is a live and interactive webinar hosted by simplilearn in collaboration with real-time industry experts explaining the fundamentals of DevOps and skills required to make a career in DevOps. They will talk about the roles and responsibilities that come with a DevOps career and much more. The host will also cover the course details offered by simplilearn for a better learning experience.

*About the webinar:*
DevOps is how the future of software is created. The tools of DevOps - containerization, CI/CD pipelines, automated testing - are how sites and apps like Google, Facebook, and Amazon keep their functionality growing seamlessly.

*Why You Should Attend This Webinar*
In this one-hour webinar, learn about DevOps careers and how to prepare yourself to start one.

You’ll see:

⏩Career opportunities waiting for you in DevOps
⏩The skills, tools, and platforms you’ll need to learn to be successful
⏩The value of career assistance services in a skills training program
⏩The benefits of learning with Caltech CTME

*Live Q&A*
You can participate in the Q&A session with *expert instructor Ashutosh Bhakare* to ask your questions about DevOps. You’ll find out what makes this one of the most sought-after careers today.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the DevOps training videos: https://www.youtube.com/watch?v=glwcz5DvY88&list=PLEiEAq2VkUUJS6zkGgXeWw9l32EwRoYdR

#DevOpsCareerWithCaltechCTME #Careermasterclass #devops #caltech #ctme #careerguidance #devopswebinar #simplilearndevops #simplilearn #2022 #2023

🔥Post Graduate Program in DevOps: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=DevOpsCareerwithCaltechWebinar28March2023&utm_medium=Description&utm_source=youtube

About Post Graduate Program in DevOps:
The devOps certification course, designed in collaboration with Caltech CTME, prepares you for a career in DevOps, bridging the gap between software developers and operations teams. Our unique Blended Learning combines live DevOps online training classes and interactive labs, gives you job-ready skills.

Key Features:

✅ Caltech CTME Post Graduate Certificate
✅ Receive up to 25 CEUs from Caltech CTME upon course completion
✅ Master classes taught by Caltech CTME instructor
✅ Online Convocation by Caltech CTME Program Director
✅ Capstone project in 3 domains
✅ Enrolment in Simplilearn’s JobAssist
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ 8X higher interaction in live online classes conducted by industry experts
✅ 20+ real-life projects on integrated labs
✅ Caltech CTME Circle Membership

Skills Covered:
✅ DevOps Methodology
✅ Configuration Management
✅ Continuous Integration
✅ Containerization
✅ Continuous Delivery
✅ DevOps on Cloud
✅ Source Control
✅ Deployment Automation
✅ Cloud Platforms

Eligibility Criteria:
✅ Prior work experience is not mandatory
✅ A bachelor's degree with an average of 50% or higher marks
✅ Can be from a programming or non-programming background


👉Learn more at: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=DevOpsCareerwithCaltechWebinar28March2023&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
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🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=MachineLearningFC01Mar22&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certificate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningFC01Mar22&utm_medium=DescriptionFirstFold&utm_source=youtube

In this video on Machine Learning with Python full course, you will understand the basics of machine learning and Python. In this Machine Learning tutorial for beginners, we will cover essential machine learning topics like applications of machine learning and machine learning concepts and understand why mathematics, statistics, and linear algebra are crucial. We'll also learn about regularization, dimensionality reduction, and PCA. We will perform a prediction analysis on the recently held US Elections. Finally, you will study the Machine Learning roadmap. Below are the topics covered in this video:

00:00:00 Machine Learning With Python Full Course 2023
00:08:36 Introduction to Machine Learning
00:16:14 Top 10 Applications of Machine Learning
00:32:38 Types of Machine Learning
00:37:46 Machine Learning Algorithms
00:38:14 Linear Regression
00:46:52 Decision Tree
01:23:25 Clustering
01:26:11 K-Means Clustering
02:18:03 Data and its types
03:29:22 Probability
04:07:53 Multiple Linear Regression
04:45:55 Confusion Matrices
05:59:54 KNN
06:23:40 Support Vector Machine
07:14:40 Principle Component Analysis(PCA)
07:53:01 Corona Virus Analysis

🔥Free Machine Learning Course With Completion Certificate:
https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearningFC01Mar22&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

#MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn

Dataset Link -https://drive.google.com/drive..../folders/15lSrc4176J

✅ AI ML Course Overview

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
-GANs
- Keras
- Tensorflow
- Reinforcement Learning
- Speech Recognition
- Recommendation Systems
- Ensemble Learning
- NumPy

👉Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningFC&utm_medium=Description&utm_source=youtube
Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=WhatIsDataStructures-CCxgUXrbFWY&utm_medium=DescriptionFF&utm_source=youtube
🔥Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=WhatIsDataStructures-CCxgUXrbFWY&utm_medium=DescriptionFF&utm_source=youtube

This tutorial will provide you an introduction to data structures. This Simplilearn tutorial will teach novices what data structure is and how to use it. We will discover real-world examples of data structures, as well as the types of data structures and their uses, in this data structures tutorial.

The following are some of the themes covered in this video:
00:00:00 Introduction What Is Data Structure?
00:01:21 What Is Data Structure?
00:02:07 What Is Data Structure? and Why do we need Data Structures?
00:04:17 What Is Data Structure? and it's Types
00:06:52 Importance of Data Structures

🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=WhatIsDataStructures&utm_medium=Description&utm_source=youtube

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⏩ Check out our Data Structures training videos playlist: https://www.youtube.com/watch?v=27PdRL89A9U&list=PLEiEAq2VkUUJMxIegQ1ge1tcGskjdiwGP

#WhatIsDataStructure #IntroductionToDataStructure #DataStructuresTutotorial #DataStrcutureExplained #DataStrcuturesWithExamples #DataStrcutures #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn

Introduction to Data Structures?
A data structure is a collection of data pieces that provides an efficient method for storing and organizing data in a computer so that it may be used effectively. Arrays, Linked Lists, Stacks, Queues, and other Data Structures are examples. Data Structures are employed in practically every element of computer science, including operating systems, compiler design, artificial intelligence, graphics, and many more applications.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

Learn more about Data Structures: https://www.simplilearn.com/data-structures-and-algorithms-article?utm_campaign=WhatIsDataStructures&utm_medium=Description&utm_source=youtube

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🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this video:
00:00:00 Introduction
00:01:15 Agenda
00:01:54 What is Machine Learning?
00:05:37 What is Support Vector Machine?
00:06:51 How does SVM work?
00:09:06 SVM Kernels
00:14:16 SVM Usecases
00:14:33 How to implement SVM
00:14:50 Hands-on

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-------------Edureka Online Training and Certification-----------

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🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-------Edureka Masters Programs----------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
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---------------------------------------Edureka Post Graduate Courses-------------------------------------------

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----------------------------------------

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----------------------------------------
About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------
Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

EE380: Computer Systems Colloquium Seminar
Computer Architecture : Deep Learning in the Age of Zen, Vega, and Beyond
Speaker: Allen Rush, Advanced Micro Devices, Inc.

Deep Learning and Machine Intelligence is maturing to the point where is it is being deployed to many applications, particularly large data, imaging classification and detection. This talk addresses the challenges of deep learning from a computational challenge perspective and discusses the ways in which new compute platforms of Zen (x86) and Vega (GPU) provide high performance solutions to different training and inference applications. The ROCm software stack completes the support with libraries and framework support for a variety of environments.

About the Speaker:
Allen Rush is a fellow at AMD, focusing on imaging and machine learning architecture development. He has been active in imaging and computer vision projects for over 25 years, including several startups. He is the domain architect for ISP and current machine learning development activities in HW, SW and application support.

For more information about this seminar and its speaker, you can visit http://web.stanford.edu/class/....ee380/Abstracts/1701

Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.

Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Learn more: http://bit.ly/WinYX5

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw

Professor Christopher Manning, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:23 Announcements
2:00 What is Coreference Resolution?
12:04 Applications
16:40 Coreference Resolution in Two Steps
19:39 Mention Detection: Not so Simple
22:19 Can we avoid a pipelined system?
23:39 4. On to Coreference! First, some linguistics
26:11 Anaphora vs Coreference
27:59 Anaphora vs. Coreference
29:24 Anaphora vs. Cataphora
32:33 Four kinds of Coreference Models
34:43 Hobbs Algorithm Example
40:07 Knowledge-based Pronominal Coreference
45:01 Hobbs' algorithm: commentary
46:06 Coreference Models: Mention Pair
47:33 Mention Pair Training
48:05 Mention Pair Test Time
52:01 7. Coreference Models: Mention Ranking
54:57 Coreference Models: Training
56:05 Mention Ranking Models: Test Time
56:49 A. Non-Neural Coref Model: Features

I show you how to train ChatGPT on your own custom data to create your own customisable GPT-4 powered chatbot you can use for your businesses Website or employees. This is the easiest no-code method I have found, and I've tried many different types of chatbot software!

👉 Custom Data Chatbot software: https://jasonwest.com/customgpt

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